Objective: To explore the effects of personality and sleep quality with psychological distress of junior and senior high school stduents, so as to provide a reference basis for precise interventions of junior and senior high school students mental health. Methods: In October 2023, a convenience sampling method was used to select 9 034 students aged 12-17 from Shiyan City as the study subjects. The Pittsburgh Sleep Quality Index (PSQI) and Kessler Psychological Distress Scale (K10) were used to collect information on sleep quality and psychological distress of junior and senior high school stduents. Between group comparison was conducted by using t-test and Chi-square test. Generalized linear models were employed to analyze the interaction and joint effects of personality and sleep quality on psychological distress. Results: The generalized linear model analysis showed that the interaction between personality and sleep quality on psychological distress was statistically significant of junior and senior high school students(effect size=0.80, P <0.01). The general linear model analysis indicated that, after adjusting for variables such as age, gender, screen time, and daily sitting time with the extroverted and good sleep quality group as the reference, the introverted and poor sleep quality group had the largest mean difference in psychological distress scores (difference=0.51, P <0.05). When stratified by sleep quality, psychological distress scores were higher in the introverted and neutral personality groups with both poor and good sleep quality compared to the extroverted group (poor sleep quality: introverted difference=3.71, neutral difference=1.14; good sleep quality: introverted difference=2.23, neutral difference=0.57, all P < 0.05). When stratified by personality, psychological distress scores were higher in the poor sleep quality groups for introverted, neutral, and extroverted individuals compared to their good sleep quality counterparts (differences=8.66, 7.83, 7.34, all P < 0.05 ). Conclusions Personality and sleep quality have interactive and joint effects on psychological distress of junior and senior high school stduents. Personalized psychological interventions should be developed based on personality and sleep quality.

Aim To investigate the role and underlying mechanisms of transient receptor potential cation chan-nel 6(TRPC6)in epileptogenesis using a kainic acid(KA)-induced mouse model.Methods C57BL/6 and TRPC6-KO(KO)mice were divided into two groups and implanted with cannulas for microinjection of KA(0.03 g·L-1,5 μL)into the lateral ventricle to establish the acute epilepsy model group,with saline injection serving as the control group.The Racine score was used to record the uninterrupted seizure grade of mice within two hours after KA administration.Immunohistochemistry was used to detect neuronal loss and tissue damage in the hippocampus brain region of mice.Immunofluorescence staining,Western blot and qPCR were used to detect the expressions of TRPC6,NLRP3,ASC,Caspase-1,p62,Atg7,Atg5,Beclin-1,LC3b-Ⅱ/LC3b-Ⅰ.in the hippocampus.Results KA induced significant neuronal loss and tissue damage in the hippocampal CA3 brain region of epilep-sy mice,while the expression levels of TRPC6,NL-RP3,ASC and Caspase-1 and other proteins in the hippocampus brain area of epilepsy mice increased,and the protein expression of autophagy-related proteins Atg7,Atg5,Beclin-1,LC3b-Ⅱ/LC3b-Ⅰ increased,while the expression of p62 protein decreased.TRPC6 knockout exacerbated KA-induced epileptogenesis,neuronal injury,inflammatory response and autophagy activation.Conclusion TRPC6 is involved in KA-in-duced epileptigenesis,and the mechanism may be re-lated to the activation of NLRP3 inflammasome-autoph-agy signaling caused by TRPC6 deletion.

Objective To identify the key factors affecting the risk of medical surges and their coupling relation5 ships,providing strategic support for medical institutions to optimize risk management and emergency governance.Methods 17 influencing factors were determined based on WSR theory,and an expert scoring method was employed to assess the impact strength among the factors.The DEMATEL method was applied to calculate the centrality,cau5 sality,influence,and being influenced degrees of the influencing factors.The ISM method was used to construct a hierarchical structure of the influencing factors related to medical surge risks,thereby revealing the connections and interaction mechanisms among these factors.Results Seven critical influencing factors were identified,including the crisis decision-making capacity and leadership effectiveness of emergency managers,the completeness of the emer5 gency system and dynamic execution capabilities,and the cross-departmental coordination mechanism and com5 mand collaboration efficiency.Deep driving factors and coupling pathways were also revealed.Conclusion The risk of medical surges exhibits multi-factorial coupling cascade effects;attention should be directed towards the construc5 tion of mid-to-deep level mechanisms such as information systems,institutional frameworks,and organizational management,to enhance targeted capabilities and systemic resilience in risk governance.

Objective To define the conceptual connotation of network dynamic collaboration capacity in medical surge response and construct its theoretical model.Methods A mixed concept analysis method was employed,integrating multidisciplinary literature and collecting empirical evidence through semi-structured expert interviews to extract the concept of network dynamic collaboration capacity in medical surge response.By integrating complex systems,network science,synergetics,and dynamic capability theory,and combining the interview results,the study used the analogy of flood control in hydraulic engineering to develop a"network-dynamic-collaboration"triangular capacity theoretical model.Results It reveals one antecedents(sudden external shocks have led to an abnormal and continuous surge in medical demand),six core attributes(information interconnection accessibility,dynamic resource adaptability,risk perception responsiveness,multi-party collaborative interactivity,service process adaptability elasticity,and learning iterative evolution),and four consequences(mitigation of crowding risk,protection of service continuity,minimization of crisis spillover,and enhancement of system resilience)for the network dynamic collaboration capacity in medical surge response.The theoretical model elucidates the coupling mechanisms among network structural resilience,dynamic regulation processes,and collaborative co-evolution in resisting medical surge.Conclusion The new concept and theoretical model proposed in this study deepen the understanding of medical surge response system mechanisms and offer a theoretical framework and practical guidance for strengthening the full-chain resilience of health emergency systems.

Objective To empirically analyze multiple pathways for enhancing medical surge response capacity and provide useful references for improving the resilience of health systems.Methods A comprehensive theoretical analysis framework for improving medical surge response capacity was constructed based on the 4S theory and collaborative governance theory.68 interview texts on medical surge response capacity conducted in July 2024 were selected as analysis samples.Using fuzzy-set Qualitative Comparative Analysis(fsQCA),7 conditional variables were selected from four dimensions:management system,information system,materials,and personnel to analyze their impact on medical surge response capacity.Results(1)A single conditional variable does not constitute a necessary condition for improving medical surge response capacity;(2)After the combination of conditions,8 specific configuration paths for capacity improvement were identified.Through systematic and comprehensive refinement,they were summarized into three modes of comprehensive configuration capacity improvement paths,namely:rapid response and collaborative operation mode,information empowerment and precise response mode,and resource conditions and resilience construction mode.Conclusion It is necessary to explore and construct systematic,combined,modularized and path-oriented capacity building strategies,refine the operational implementation paths for improving China's medical surge response capacity,target the linkage and configuration modes of different conditional variables,promote the formulation and implementation of modular construction schemes oriented by key capacity,and make efforts from multiple aspects to enhance the resilience of the health system.

Aim To investigate the role and underlying mechanisms of transient receptor potential cation chan-nel 6(TRPC6)in epileptogenesis using a kainic acid(KA)-induced mouse model.Methods C57BL/6 and TRPC6-KO(KO)mice were divided into two groups and implanted with cannulas for microinjection of KA(0.03 g·L-1,5 μL)into the lateral ventricle to establish the acute epilepsy model group,with saline injection serving as the control group.The Racine score was used to record the uninterrupted seizure grade of mice within two hours after KA administration.Immunohistochemistry was used to detect neuronal loss and tissue damage in the hippocampus brain region of mice.Immunofluorescence staining,Western blot and qPCR were used to detect the expressions of TRPC6,NLRP3,ASC,Caspase-1,p62,Atg7,Atg5,Beclin-1,LC3b-Ⅱ/LC3b-Ⅰ.in the hippocampus.Results KA induced significant neuronal loss and tissue damage in the hippocampal CA3 brain region of epilep-sy mice,while the expression levels of TRPC6,NL-RP3,ASC and Caspase-1 and other proteins in the hippocampus brain area of epilepsy mice increased,and the protein expression of autophagy-related proteins Atg7,Atg5,Beclin-1,LC3b-Ⅱ/LC3b-Ⅰ increased,while the expression of p62 protein decreased.TRPC6 knockout exacerbated KA-induced epileptogenesis,neuronal injury,inflammatory response and autophagy activation.Conclusion TRPC6 is involved in KA-in-duced epileptigenesis,and the mechanism may be re-lated to the activation of NLRP3 inflammasome-autoph-agy signaling caused by TRPC6 deletion.

This consensus was developed by the Orthodontic Society of the Chinese Stomatological Association to provide a systematic, scientific, and practical guideline for informed consent in orthodontic care. Orthodontic treatment is typically lengthy, highly individualized, and involves multiple factors such as growth and development, occlusal function, and facial esthetics. Rapid technological advances and diverse risk profiles make the traditional reliance on orthodontist experience or institutional templates insufficient to ensure patients′ full understanding and autonomous decision-making. To address this, the expert panel conducted extensive reviews of domestic and international guidelines, analyzed representative dispute cases, and performed multicenter patient-clinician surveys. Using a multi-round Delphi method, the group established a standardized informed consent framework covering the initial consultation, treatment, and retention phases. The consensus emphasizes that informed consent is not only a fundamental legal and ethical requirement but also a key step in building trust, improving patient compliance, and enhancing treatment satisfaction. Orthodontists should clearly and comprehensively explain treatment plans, potential risks, uncertainties, and associated costs, while respecting the autonomy of patients or guardians, and maintain continuous communication and dynamic evaluation throughout the treatment process. The release of this consensus provides unified and authoritative guidance for clinical orthodontics, helping to standardize informed consent, enhance its transparency, safeguard patient rights, reduce medical risks, and promote high-quality, sustainable development of orthodontic practice.

Aim To examine the pathogenesis of disul-fide death gene in vascular dementia(VD)by bioin-formatics analysis of disulfide death differentially ex-pressed genes(DEGs)combined with experimental verification.Methods The death DEGs of disulfide were screened and their correlation was analyzed.The VD patients data in the data set were analyzed by clus-tering and typing and gene set variation.The clustering risk of DEGs was tested with a nomogram model,and the optimal learning model was predicted.After the es-tablishment of VD rat model,water maze test,HE stai-ning and RT-qPCR detection were performed to verify the results of health information.Results Four DEGs including SLC7A11 were obtained,which had antago-nistic or synergistic interaction with each other.The genetic data could be divided into two subtypes with significant differences.After typing,VD disulfide DEGs were mainly concentrated in GnRH signaling pathways.The accuracy of the nomogram prediction model was high.Generalized linear was the best ma-chine learning model.Compared with the sham opera-tion group,the escape latency of rats in the model group was prolonged,the number of crossing platforms decreased,the relative mRNA expression levels of Slc3a2 and Slc7a11 decreased,and LRPPRC in-creased.Conclusions SLC7A11 and other disulfide death DEGs and its related GnRH signaling pathway may be an important part of the pathogenesis of VD di-sulfide death.SLC3A2,LRPPRC and SLC7A11 can be used as characteristic genes in the regulation of VD by disulfide death,which may affect VD progression through the regulation of disulfide death.

Objective To investigate the effect of β-arrestin1(ARRB1)on cell proliferation,migration and invasion in oral squamous cell carcinoma(OSCC).Methods Based on The Cancer Genome Atlas(TCGA)database,the expression profiles of ARRB1 in OSCC were analyzed,and then Gene Set Enrichment Analysis(GSEA)was used to suggest the possible signaling pathways involved,and to explore its potential impact on the prognosis of OSCC patients.Immuinohistochemistry(IHC)was performed to detect the expression of ARRB1 in OSCC tumor tissues and adjacent tissues,and the correlation between ARRB1 expression and clinicopathological features was statistically analyzed.The expression profiles of ARRB1 in SCC-15,CAL-27 and HOK cell lines were verified by qPCR and Western blotting.The ARRB1 overexpression plasmid model was constructed,and its effects on the proliferation,migration and invasion of OSCC cells were analyzed by clone formation,EdU,scratch and Transwell assays.Results TCGA showed that the expression level of ARRB1 was significantly lower in head and neck squamous cell carcinoma(HNSC)and OSCC tissues than the corresponding normal tissues(P<0.01).The expression of ARRB1 in OSCC tissues was correlated with tumor differentiation,lymph node metastasis and TNM stage(P<0.05).The OSCC patients with high expression of ARRB1 had a lower survival rate than those with low expression(P<0.01),which was consistent with the results of bioinformatics analysis.The expression level of ARRB1 in SCC-15 and CAL-27 cells was lower than that of HOK cells(P<0.01),and its overexpression significantly inhibited cell proliferation(P<0.05),migration(P<0.01)and invasion(P<0.01).Conclusion ARRB1 is lowly expressed in OSCC,its overexpression inhibits the proliferation,migration and invasion of OSCC cells,and it is related to prognosis improvement.

Objective To identify the key factors affecting the risk of medical surges and their coupling relation5 ships,providing strategic support for medical institutions to optimize risk management and emergency governance.Methods 17 influencing factors were determined based on WSR theory,and an expert scoring method was employed to assess the impact strength among the factors.The DEMATEL method was applied to calculate the centrality,cau5 sality,influence,and being influenced degrees of the influencing factors.The ISM method was used to construct a hierarchical structure of the influencing factors related to medical surge risks,thereby revealing the connections and interaction mechanisms among these factors.Results Seven critical influencing factors were identified,including the crisis decision-making capacity and leadership effectiveness of emergency managers,the completeness of the emer5 gency system and dynamic execution capabilities,and the cross-departmental coordination mechanism and com5 mand collaboration efficiency.Deep driving factors and coupling pathways were also revealed.Conclusion The risk of medical surges exhibits multi-factorial coupling cascade effects;attention should be directed towards the construc5 tion of mid-to-deep level mechanisms such as information systems,institutional frameworks,and organizational management,to enhance targeted capabilities and systemic resilience in risk governance.